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Month wise articles
Figures next to the month indicate the number of articles in that month
2021
April
[
4
]
March
[
7
]
February
[
3
]
January
[
6
]
2020
December
[
2
]
November
[
5
]
October
[
3
]
September
[
2
]
August
[
8
]
July
[
4
]
June
[
2
]
May
[
1
]
April
[
3
]
March
[
3
]
February
[
6
]
January
[
1
]
2019
December
[
6
]
November
[
4
]
September
[
4
]
August
[
3
]
July
[
6
]
June
[
1
]
May
[
2
]
April
[
6
]
March
[
3
]
February
[
4
]
January
[
2
]
2018
December
[
10
]
November
[
4
]
October
[
3
]
September
[
4
]
August
[
1
]
July
[
3
]
June
[
5
]
May
[
4
]
April
[
10
]
March
[
2
]
February
[
4
]
2017
December
[
5
]
November
[
4
]
October
[
3
]
September
[
9
]
July
[
5
]
June
[
2
]
May
[
4
]
April
[
6
]
March
[
6
]
February
[
7
]
2016
December
[
7
]
November
[
5
]
October
[
3
]
September
[
7
]
August
[
1
]
July
[
7
]
May
[
8
]
April
[
7
]
March
[
4
]
February
[
2
]
January
[
5
]
2015
November
[
4
]
October
[
5
]
September
[
5
]
August
[
4
]
July
[
3
]
June
[
19
]
May
[
5
]
April
[
1
]
March
[
5
]
February
[
9
]
January
[
3
]
2014
November
[
2
]
October
[
5
]
September
[
4
]
August
[
6
]
July
[
8
]
June
[
1
]
May
[
3
]
March
[
8
]
February
[
3
]
January
[
4
]
2013
December
[
5
]
November
[
2
]
October
[
4
]
September
[
4
]
August
[
3
]
July
[
3
]
June
[
5
]
May
[
7
]
March
[
18
]
February
[
1
]
January
[
1
]
2012
December
[
6
]
November
[
1
]
October
[
4
]
September
[
4
]
August
[
7
]
July
[
2
]
June
[
1
]
May
[
2
]
April
[
7
]
March
[
6
]
February
[
7
]
January
[
13
]
2011
December
[
3
]
November
[
1
]
October
[
7
]
August
[
9
]
July
[
3
]
June
[
7
]
May
[
3
]
March
[
6
]
February
[
8
]
January
[
6
]
2010
December
[
4
]
November
[
1
]
October
[
6
]
September
[
1
]
August
[
6
]
July
[
6
]
May
[
5
]
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Technical note:
University of Pittsburgh Medical Center remains tracker: A novel application for tracking decedents and improving the autopsy workflow
Matthew A Smith, Somak Roy, Rick Nestler, Beth Augustine, David Miller, Anil Parwani, Lawrence Nichols
J Pathol Inform
2011, 2:30 (14 June 2011)
DOI
:10.4103/2153-3539.82055
PMID
:21773061
All hospitals deal with patient deaths. Multiple departments and personnel must be coordinated to ensure that decedents are safely managed. Prior to 2004, at the University of Pittsburgh Medical Center (UPMC), when a patient passed away, the process of alerting involved personnel, transporting the decedent, and tracking the completion of clinical documents was cumbersome and inefficient. In order to address these concerns, UPMC Remains Tracker, a web-based application, was developed to improve the efficiency and simplify the logistics related to the management of patient deaths. The UPMC Information Services division developed UPMC Remains Tracker, an application that tracks decedents' locations, documentation status, and autopsy status within UPMC hospitals. We assessed qualitative improvement in decedent remains tracking, decedent paperwork management, and staff satisfaction and compliance. UPMC Remains Tracker improved the process of tracking decedents' locations, identifying involved personnel, monitoring autopsy requests, and determining the availability for funeral home transportation. Resident satisfaction with UPMC Remains Tracker was generally positive and scored as "Improved efficiency" and makes identifying and tracking decedents "Much easier". Additionally, the nursing staff reacted favorably to the application. A retrospective review of the use of the application in the management of 100 decedents demonstrated a 93% compliance rate. Among the cases requiring an autopsy, there was a 90% compliance rate. The process of tracking decedents, their paperwork, involved staff, and decedent autopsy status is often inefficient. This assessment suggests that incorporating new technologies such as UPMC Remains Tracker into the management of hospital deaths provides accurate tracking of remains, streamlines the administrative tasks associated with deaths, and increases nursing and resident satisfaction and compliance.
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Commentary:
Comment on "Modified full-field optical coherence tomography: A novel tool for rapid histology of fresh tissues"
Jeffrey L Fine
J Pathol Inform
2011, 2:29 (14 June 2011)
DOI
:10.4103/2153-3539.82054
PMID
:21773060
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Research Article:
Modified full-field optical coherence tomography: A novel tool for rapid histology of tissues
Manu Jain, Nidhi Shukla, Maryem Manzoor, Sylvie Nadolny, Sushmita Mukherjee
J Pathol Inform
2011, 2:28 (14 June 2011)
DOI
:10.4103/2153-3539.82053
PMID
:21773059
Background:
Here, we report the first use of a commercial prototype of full-field optical coherence tomography called Light-CT
TM
. Based on the principle of white light interferometry, Light-CT
TM
generates quick high-resolution three-dimensional tomographic images from unprocessed tissues. Its advantage over the current intra-surgical diagnostic standard,
i.e.
frozen section analysis, lies in the absence of freezing artifacts, which allows real-time diagnostic impressions, and/or for the tissues to be triaged for subsequent conventional histopathology.
Materials and Methods:
In this study, we recapitulate known normal histology in nine formalin fixed
ex vivo
rat organs (skin, heart, lung, liver, stomach, kidney, prostate, urinary bladder, and testis). Large surface and virtually sectioned stacks of images at varying depths were acquired by a pair of 10x/0.3 numerical aperture water immersion objectives, processed and visualized in real time.
Results:
Normal histology of the following organs was recapitulated by identifying various tissue microstructures. Skin: epidermis, dermal-epidermal junction and hair follicles with surrounding sebaceous glands in the dermis. Stomach: mucosa with surface pits, submucosa,
muscularis propria
and serosa. Liver: hepatocytes separated by sinusoidal spaces, central veins and portal triad. Kidney: convoluted tubules, medullary rays (straight tubules) and collecting ducts. Prostate: acini and fibro-muscular stroma. Lung: bronchi, bronchioles, alveolar ducts, alveoli and pleura. Urinary bladder: urothelium,
lamina propria
,
muscularis propria
, and
serosa
. Testis: seminiferous tubules with intra-tubular sperms.
Conclusion:
Light-CT
TM
is a powerful imaging tool to perform fast histology on fresh and fixed tissues, without introducing artifacts. Its compact size, ease of handling, fast image acquisition and safe incident light levels makes it well-suited for various intra-operative and intra-procedural triaging and decision making applications.
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Review Article:
Digital slides and ACGME resident competencies in anatomic pathology: An altered paradigm for acquisition and assessment
Lewis A Hassell, Kar-Ming Fung, Brad Chaser
J Pathol Inform
2011, 2:27 (14 June 2011)
DOI
:10.4103/2153-3539.82052
PMID
:21773058
Whole slide digital imaging technology has matured considerably over the past decade. Applications in pathology education are widespread and are rapidly transforming the manner in which medical students learn pathology and histology, and they have a novel and significant impact on postgraduate continuing medical education. Whole slide digital images for use in pathology graduate education have been slower in adoption and remain much less widespread. Emphasis on professional competency by the Accreditation Council on Graduate Medical Education (ACGME) and credentialing organizations, however, appear poised to significantly increase. The convergence of these two forces is propitious for pathology training. This article examines the opportunities for the use of whole slide images (WSI) in pathology residency training along with the developing potential uses in each of the areas of competency, as categorized by the ACGME. Barriers to WSI adoption in the pathology community are identified along with potentially significant promoters for adoption in training and practice. Current literature and recent presentations are reviewed. Digital pathology coupled with emphasis on competency is a shift of tremendous magnitude that can dramatically improve our abilities to help trainees acquire, demonstrate, and maintain the skills to practice pathology in the generation ahead.
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Editorial:
Why a pathology image should not be considered as a radiology image
Jason D Hipp, Anna Fernandez, Carolyn C Compton, Ulysses J Balis
J Pathol Inform
2011, 2:26 (14 June 2011)
DOI
:10.4103/2153-3539.82051
PMID
:21773057
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Editorial:
Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess
Jason Hipp, Thomas Flotte, James Monaco, Jerome Cheng, Anant Madabhushi, Yukako Yagi, Jaime Rodriguez-Canales, Michael Emmert-Buck, Michael C Dugan, Stephen Hewitt, Mehmet Toner, Ronald G Tompkins, David Lucas, John R Gilbertson, Ulysses J Balis
J Pathol Inform
2011, 2:25 (14 June 2011)
DOI
:10.4103/2153-3539.82050
PMID
:21773056
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Commentary:
Stepping across borders into the future of telepathology
Alexis B Carter
J Pathol Inform
2011, 2:24 (14 June 2011)
DOI
:10.4103/2153-3539.82049
PMID
:21773055
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© Journal of Pathology Informatics | Published by Wolters Kluwer -
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Online since 10
th
March, 2010